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. 2006 Jun 6;34(10):3067-81.
doi: 10.1093/nar/gkl381. Print 2006.

Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes

Nicki Tiffin  1 , Euan Adie, Frances Turner, Han G Brunner, Marc A van Driel, Martin Oti, Nuria Lopez-Bigas, Christos Ouzounis, Carolina Perez-Iratxeta, Miguel A Andrade-Navarro, Adebowale Adeyemo, Mary Elizabeth Patti, Colin A M Semple, Winston Hide
Affiliations

Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes

Nicki Tiffin et al. Nucleic Acids Res. .

Abstract

Genome-wide experimental methods to identify disease genes, such as linkage analysis and association studies, generate increasingly large candidate gene sets for which comprehensive empirical analysis is impractical. Computational methods employ data from a variety of sources to identify the most likely candidate disease genes from these gene sets. Here, we review seven independent computational disease gene prioritization methods, and then apply them in concert to the analysis of 9556 positional candidate genes for type 2 diabetes (T2D) and the related trait obesity. We generate and analyse a list of nine primary candidate genes for T2D genes and five for obesity. Two genes, LPL and BCKDHA, are common to these two sets. We also present a set of secondary candidates for T2D (94 genes) and for obesity (116 genes) with 58 genes in common to both diseases.

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Figures

Figure 1
Figure 1
Involvement of candidate T2D genes in cellular metabolism pathways, selected candidates are shown in red.
See this image and copyright information in PMC

References

    1. Glazier A.M., Nadeau J.H., Aitman T.J. Finding genes that underlie complex traits. Science. 2002;298:2345–2349. - PubMed
    1. Tabor H.K., Risch N.J., Myers R.M. Opinion: candidate-gene approaches for studying complex genetic traits: practical considerations. Nature Rev. Genet. 2002;3:391–397. - PubMed
    1. Hoh J., Ott J. Genetic dissection of diseases: design and methods. Curr. Opin. Genet. Dev. 2004;14:229–232. - PubMed
    1. Yang Q., Khoury M.J., Botto L., Friedman J.M., Flanders W.D. Improving the prediction of complex diseases by testing for multiple disease-susceptibility genes. Am. J. Hum. Genet. 2003;72:636–649. - PMC - PubMed
    1. Risch N.J. Searching for genetic determinants in the new millennium. Nature. 2000;405:847–856. - PubMed

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